Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 551290
Title Methodological elements for optimising the spatial monitoring design to support regional benthic ecosystem assessments
Author(s) Hoey, Gert Van; Wischnewski, Julia; Craeymeersch, Johan; Dannheim, Jennifer; Enserink, Lisette; Guerin, Laurent; Marco-Rius, Francisco; O’connor, Joey; Reiss, Henning; Sell, Anne F.; Vanden Berghe, Marie; Zettler, Michael L.; Degraer, Steven; Birchenough, Silvana N.R.
Source Environmental Monitoring and Assessment 191 (2019)7. - ISSN 0167-6369 - 13 p.
DOI https://doi.org/10.1007/s10661-019-7550-9
Department(s) Onderz. Form. I.
Publication type Refereed Article in a scientific journal
Publication year 2019
Abstract Benthic habitat condition assessments are a requirement under various environmental directives. The Marine Strategy Framework Directive (MSFD), for example, challenges member states in a European sea region to perform comparable assessments of good environmental status and improve coherence
of their monitoring programmes by 2020. Currently, North Sea countries operate independent monitoring programmes using nationally defined assessment
areas. Lack of an agreed OSPAR or EU scale monitoring method and programme has been identified as a priority science need. This paper proposes a method
for the development of a coherent and efficient spatial sampling design for benthic habitats on regional level and gives advice on optimal monitoring effort
to get more accurate assessments. We use ecologically relevant assessment areas (strata) across national borders and test spatial sample allocation methods.
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